我使用下面的代碼來檢測人臉:Python的 - 調整圖像
import io
import picamera
import cv2
import numpy
import PIL
from PIL import Image
from resizeimage import resizeimage
#Load a cascade file for detecting faces
face_cascade = cv2.CascadeClassifier('/usr/share/opencv/haarcascades/haarcascade_frontalface_alt.xml')
#Create a memory stream so photos doesn't need to be saved in a file
stream = io.BytesIO()
#Get the picture (low resolution, so it should be quite fast)
#Here you can also specify other parameters (e.g.:rotate the image)
with picamera.PiCamera() as camera:
camera.resolution = (640, 480)
camera.vflip = False
camera.hflip = False
camera.brightness = 60
camera.capture(stream, format='jpeg')
#Convert the picture into a numpy array
buff = numpy.fromstring(stream.getvalue(), dtype=numpy.uint8)
#Now creates an OpenCV image
image = cv2.imdecode(buff, 1)
#Load a cascade file for detecting faces
#face_cascade = cv2.CascadeClassifier('/usr/share/opencv/haarcascades/haarcascade_frontalface_alt.xml')
#Convert to grayscale
gray = cv2.cvtColor(image,cv2.COLOR_BGR2GRAY)
#Look for faces in the image using the loaded cascade file
faces = face_cascade.detectMultiScale(gray, 1.1, 5)
print "Found "+str(len(faces))+" face(s)"
#Draw a rectangle around every found face
#Crop faces and save to separate files
id = 1
for (x,y,w,h) in faces:
cv2.rectangle(image,(x,y),(x+w,y+h),(255,0,0),2)
cropped = image[ y : y+h, x : x+w ]
#RESIZE IMAGE to 92x112
cropped = cv2.resize(cropped,None,92,112)
cv2.imwrite("../reco/test_faces/cropped_face" + str(id) + ".png", cropped)
id = id + 1
當時我想的面裁剪成圖像文件,並將其調整爲92x112結束。這是我嘗試用
cropped = cv2.resize(cropped,None,92,112)
當我運行此我得到
OpenCV的錯誤:調整大小斷言失敗(dsize.area()||(inv_scale_x> 0 & & inv_scale_y> 0)),文件/build/opencv-ISmtkH/opencv-2.4.9.1+dfsg/modules/imgproc/src/imgwarp.cpp,第1835行 回溯(最近一次調用最後一次): 文件「1track.py」,第48行,在 裁剪= cv2.resize(裁剪,無,92,112) cv2.error:/build/opencv-ISmtkH/opencv-2.4.9.1+dfsg/modules/imgproc/src/imgwarp.cpp:1835:error:(-215) dsize.area()|| (inv_scale_x> 0 & & inv_scale_y> 0)in function resize
任何幫助都會很棒。 對不起,如果th的問題是愚蠢的,我是一個絕對的初學者在編程,上面的代碼是一個谷歌搜索結果.. 謝謝!